What are the hardware requirements for Qwen3.6 27B 6bit?

Qwen3.6 27B 6bit requires approximately 22.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.6 27B 6bit and how large is it?

Qwen3.6 27B 6bit is developed by mlx-community, a model with 27b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen3.6 27B 6bit?

Qwen3.6 27B 6bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.6 27B 6bit by mlx-community — VRAM 22.7GB

Name: Qwen3.6 27B 6bit
Author: mlx-community

Qwen3.6 27B 6bit is an open-source language model by mlx-community. Features: 27b LLM, VRAM: 22.7GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.27.

6-bit 6bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.6-27b Conversational Image-text-to-text Mlx Quantized Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3.6-27B-6bit

Qwen3.6 27B 6bit Parameters and Internals

LLM Name	Qwen3.6 27B 6bit
Repository 🤗	https://huggingface.co/mlx-community/Qwen3.6-27B-6bit
Base Model(s)	Qwen/Qwen3.6-27B Qwen/Qwen3.6-27B
Model Size	27b
Required VRAM	22.7 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	qwen3_5
Model Files	5.4 GB: 1-of-5 5.3 GB: 2-of-5 5.3 GB: 3-of-5 5.3 GB: 4-of-5 1.4 GB: 5-of-5
Quantization Type	6bit
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.6 27B 6bit capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Qwen3.6 27B 6bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B OptiQ 4bit	256K / 18.7 GB	13065	59
Qwen3.6 27B 4bit	0K / 16 GB	43672	49
...inkingCap Qwen3.6 27B Mlx 6Bit	0K / 21.8 GB	3474	6
...kingCap Qwen3.6 27B OptiQ 4bit	0K / 18.7 GB	2355	3
Qwen3.5 27B OptiQ 4bit	0K / 18.6 GB	7269	3
Qwen3.6 27B 8bit	0K / 29.4 GB	4790	18
Fara1.5 27B OptiQ 4bit	0K / 20.4 GB	256	1
Qwen3.5 27B 4bit	0K / 16 GB	6378	50
Qwopus3.6 27B Coder 4bit	0K / 16 GB	312	1
...aude 4.6 Opus Abliterated 4bit	0K / 16 GB	2672	21

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3.6-27B-6bit.